text: # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
  import argparse
  import glob
  import multiprocessing as mp
  import os
  import time
  import cv2
  import tqdm
  import numpy as np
  from detectron2.data.detection_utils import read_image
  from detectron2.utils.logger import setup_logger
  
  from predictor import VisualizationDemo
  from adet.config import get_cfg
  
  # constants
  WINDOW_NAME = "COCO detections"
  
  
  def setup_cfg(args):
      # load config from file and command-line arguments
      cfg = get_cfg()
      cfg.merge_from_file(args.config_file)
      cfg.merge_from_list(args.opts)
      # Set score_threshold for builtin models
      cfg.MODEL.RETINANET.SCORE_THRESH_TEST = args.confidence_threshold
      cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = args.confidence_threshold
      cfg.MODEL.FCOS.INFERENCE_TH_TEST = args.confidence_threshold
      cfg.MODEL.MEInst.INFERENCE_TH_TEST = args.confidence_threshold
      cfg.MODEL.PANOPTIC_FPN.COMBINE.INSTANCES_CONFIDENCE_THRESH = args.confidence_threshold
      cfg.freeze()
      return cfg
  
  
  def get_parser():
      parser = argparse.ArgumentParser(description="Detectron2 Demo")
      parser.add_argument(
          "--config-file",
          default="configs/quick_schedules/e2e_mask_rcnn_R_50_FPN_inference_acc_test.yaml",
          metavar="FILE",
          help="path to config file",
      )
      parser.add_argument("--webcam", action="store_true", help="Take inputs from webcam.")
      parser.add_argument("--video-input", help="Path to video file.")
      parser.add_argument("--input", nargs="+", help="A list of space separated input images")
      parser.add_argument(
          "--output",
          help="A file or directory to save output visualizations. "
          "If not given, will show output in an OpenCV window.",
      )
  
      parser.add_argument(
          "--confidence-threshold",
          type=float,
          default=0.85,
          help="Minimum score for instance predictions to be shown",
      )
      parser.add_argument(
          "--opts",
          help="Modify config options using the command-line 'KEY VALUE' pairs",
          default=[],
          nargs=argparse.REMAINDER,
      )
      return parser
  
  
  if __name__ == "__main__":
      mp.set_start_method("spawn", force=True)
      args = get_parser().parse_args()
      logger = setup_logger()
      logger.info("Arguments: " + str(args))
  
      cfg = setup_cfg(args)
  
      demo = VisualizationDemo(cfg)
  
      if args.input:
          if os.path.isdir(args.input[0]):
              args.input = [os.path.join(args.input[0], fname) for fname in os.listdir(args.input[0])]
          elif len(args.input) == 1:
              args.input = glob.glob(os.path.expanduser(args.input[0]))
              assert args.input, "The input path(s) was not found"
          for path in tqdm.tqdm(args.input, disable=not args.output):
              # use PIL, to be consistent with evaluation
              img = read_image(path, format="BGR")
              # import pdb;pdb.set_trace()
              start_time = time.time()
              predictions, visualized_output = demo.run_on_image(img,path)
              logger.info(
                  "{}: detected {} instances in {:.2f}s".format(
                      path, len(predictions["instances"]), time.time() - start_time
                  )
              )
  
              if args.output:
                  if os.path.isdir(args.output):
                      assert os.path.isdir(args.output), args.output
                      out_filename = os.path.join(args.output, os.path.basename(path))
                  else:
                      assert len(args.input) == 1, "Please specify a directory with args.output"
                      out_filename = args.output
                  visualized_output.save(out_filename)
              else:
                  p = path.split('/')[-1]
                  file = open('test/'+'test0408.lines.txt')
                  lanes = file.readlines()
                  img = visualized_output.get_image()[:, :, ::-1]
                  for lane in range(len(lanes)):
                      
                      line = lanes[lane].strip().split(' ')
                      if len(line)>=2:
                          x = np.asarray(line[::2])
                          y = (np.asarray(line[1::2]))
                          x = [int(a) for a in x]
                          y = [int(b) for b in y]
                          for i,j in zip(x,y):
                              img = cv2.circle(img, (i,j), radius=1, color=(0, 255, 0), thickness=2)
                  # cv2.imshow(WINDOW_NAME, img)
                  cv2.imwrite('test_res/'+p[:-3]+'_result.jpg',img)
                  # if cv2.waitKey(0) == 27:
                  #     break  # esc to quit
      elif args.webcam:
          assert args.input is None, "Cannot have both --input and --webcam!"
          cam = cv2.VideoCapture(0)
          for vis in tqdm.tqdm(demo.run_on_video(cam)):
              cv2.namedWindow(WINDOW_NAME, cv2.WINDOW_NORMAL)
              cv2.imshow(WINDOW_NAME, vis)
              if cv2.waitKey(1) == 27:
                  break  # esc to quit
          cv2.destroyAllWindows()
      elif args.video_input:
          video = cv2.VideoCapture(args.video_input)
          width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
          height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
          frames_per_second = video.get(cv2.CAP_PROP_FPS)
          num_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
          basename = os.path.basename(args.video_input)
  
          if args.output:
              if os.path.isdir(args.output):
                  output_fname = os.path.join(args.output, basename)
                  output_fname = os.path.splitext(output_fname)[0] + ".mkv"
              else:
                  output_fname = args.output
              assert not os.path.isfile(output_fname), output_fname
              output_file = cv2.VideoWriter(
                  filename=output_fname,
                  # some installation of opencv may not support x264 (due to its license),
                  # you can try other format (e.g. MPEG)
                  fourcc=cv2.VideoWriter_fourcc(*"x264"),
                  fps=float(frames_per_second),
                  frameSize=(width, height),
                  isColor=True,
              )
          assert os.path.isfile(args.video_input)
          for vis_frame in tqdm.tqdm(demo.run_on_video(video), total=num_frames):
              if args.output:
                  output_file.write(vis_frame)
              else:
                  cv2.namedWindow(basename, cv2.WINDOW_NORMAL)
                  cv2.imshow(basename, vis_frame)
                  if cv2.waitKey(1) == 27:
                      break  # esc to quit
          video.release()
          if args.output:
              output_file.release()
          else:
              cv2.destroyAllWindows()
  